#!/bin/bash 
mode: 'train'
network: "MossFormer2_SE_48K"  
checkpoint_dir: "checkpoints/MossFormer2_SE_48K"

# FFT parameters
sampling_rate: 48000
win_type: 'hamming'
win_len: 1920
win_inc: 384
fft_len: 1920
num_mels: 60

# Train
tr_list: 'data/tr_demand_28_spks_16k.scp'
cv_list: 'data/cv_demand_testset_16k.scp'

init_learning_rate: 0.0005
finetune_learning_rate: 0.00005
batch_size: 4
max_epoch: 100
#
# weight_decay: 0.00001
clip_grad_norm: 10.
#
# # Log 
seed: 777
#
# # # dataset
load_fbank: 1 #to return fbank from dataloader
num_workers: 4
accu_grad: 1 # accumulate multiple batch sizes for one back-propagation updating
effec_batch_size: 8   # per GPU, only used if accu_grad is set to 1, must be multiple times of batch size
max_length: 4         # truncate the utterances in dataloader, in seconds 
